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| Title | Modelling the Socio-Ecological System Dynamics of Rubber Agroforests to Design Reward Mechanisms for Agro-biodiversity Conservation | | Author | Grace B.Villamor, Utkir Djanibekov, Quang Bao Le and Paul L.G. Vlek | | Year | 2013 | | Parent Title | 20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 | | Publisher | Modelling and Simulation Society of Australia and New Zealand Inc | | City of Publication | Adelaide, Australia | | Pages | 1861-1867 | | Call Number | PP0336-13 | | Keywords | Agent-based model, biodiversity performance indicator, conditionality, eco-certification,
ecosystem service trade-offs, land-use/cover change, price effect |
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| Abstract: |
| An agent-based modelling approach (LB-LUDAS model) was applied to simulate and visualize
the temporal and spatial scale effects of the Payments for Ecosystem Services (PES) scheme on the trade-offs
between goods and services in the rubber agroforest landscapes in Jambi Province, (Sumatra) Indonesia. The
PES scheme under investigation is a form of eco-certification of biodiversity-friendly rubber agroforests, as
an economic incentive to keep rubber agroforests from conversion into monoculture plantations. Within the
model, we integrated the concept of PES conditionality, where biodiversity performance measures were set
for household agents to qualify for incentives. On the other hand, species richness, carbon sequestration, and
natural succession sub-models are imbedded in the landscape agents. During the simulation, we looked at
three different price scenarios to determine how they will affect the land-use decision of the agents and the
ecosystem services supply. The main results showed that PES for rubber agroforests could offer synergies
among carbon emission reduction, biodiversity and livelihoods when compared to the existing land-use
practices. At the same time, the scheme could reduce the trade-offs resulting from possible land-use/cover
change. The results of the simulation were validated using a role-playing game testing responses to external
agents. |
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